Applications are invited for a PhD fellowship/scholarship at Graduate School of Natural Sciences, Aarhus University, Denmark, within the Computer Science programme. The position is available from August 2024 or later.
Title:
Multiplex Visualization and Analytics
Research area and project description:
A key challenge in data visualization and visual analytics is the wealth of techniques at each step of an interactive visual data analysis process. It requires a lot of prior visualization knowledge and analysis experience to choosing between the available techniques those that are suitable for the task at hand, and then choose among those that are applicable to the data at hand along the entire workflow from data preprocessing to its visual representation.
The new idea of Multiplex Visual Analytics (MVA) aims to overcome this hurdle by instantiating multiple different visual analysis methods in parallel, observing how they perform on increasingly larger samples of the data and then making an informed choice among them: the user can terminate the execution of under-performing techniques, thus freeing computational resources to spawn the execution of other, so far un- or under-explored techniques. The outcome of a data analysis using MVA is (1) a better, more reliable result as the best fit of all techniques could be chosen, and (2) a higher confidence of the analysts in the result as they were able to easily “try out” a whole ensemble of methods to make an informed choice among them.
Your task in this PhD project will be to realize a lightweight version of MVA and to develop the visualization and interaction methods needed to instantiate, monitor, and orchestrate such a “zoo of running analysis techniques”, as well as to consolidate their results into a final analysis outcome. To do so, you will use cutting-edge approaches like Progressive Visual Analytics and Multiverse Analyses on cutting-edge hardware to deliver the needed numbers of threads.
Work on this PhD topic will be conducted as part of the ArtiPlex project funded by the Independent Research Fund Denmark (Danmarks Frie Forskningsfond). Within this project, you will apply the MVA solutions you develop to the real-world problem of artifact detection in EEG (Electroencephalography) data. To that end, you will collaborate closely with EEG specialists at Aarhus University’s Department of Engineerig, as well as with researchers from abroad.
Please upload a project description (½-4 pages). This document should describe your ideas and research plans for this specific project. If you wish to, you can indicate an URL where further information can be found.
Qualifications and specific competences:
To apply for the position, you must have a relevant Master’s degree (or equivalent) and excellent computer programming skills. Prior experience in at least one of the following areas is of advantage: data visualization, data science, computer graphics, human-computer interaction, or concurrent programming.
You are expected to bring or develop the necessary soft skills for working in teams, as well as for managing and communicating your research progress. The same holds for the necessary hard skills in software development and scientific writing.
Place of employment and place of work:
The place of employment is Aarhus University, and the place of work is Department of Computer Science, Åbogade 34, 8200 Aarhus N, Denmark.
Contacts:
Applicants seeking further information for this project are invited to contact: Associate Professor Hans-Jörg Schulz, hjschulz@cs.au.dk
How to apply:
For information about application requirements and mandatory attachments, please see the Application guide. Please read the Application guide thoroughly before applying.
When ready to apply, go to https://phd.nat.au.dk/for-applicants/apply-here/ (Note, the online application system opens 1 March 2024)
Please note:
At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We focus on competency development and career clarification and want to make your opportunities transparent. On our website, you can find information on all types of scientific positions, as well as the entry criteria we use when assessing candidates. You can also read more about how we can assist you in your career planning and development.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background.
